Intelligent gypsum warehouse feeding detection system

Abstract

The invention relates to the field of material detection, and discloses an intelligent gypsum warehouse feeding detection system, which is provided with a correlation sensing unit, a dust detector, an experimental analysis module, a simulation analysis module and a data processing module, and is characterized in that the experimental analysis module obtains experimental data of a plurality of material transporting experiments and calculates a grab bucket feeding frequency threshold value; the simulation analysis module obtains experimental data of a plurality of feeding experiments and calculates a dust concentration critical value; the data processing module counts the real-time grab bucket feeding frequency according to the shielding signal, judges the real-time grab bucket feeding frequency and a grab bucket feeding frequency threshold value, judges that the feeding port is blocked when the real-time grab bucket feeding frequency is lower than the grab bucket feeding frequency threshold value, and judges that the feeding port is blocked when the real-time grab bucket feeding frequency is higher than or within the grab bucket feeding frequency threshold value interval; and judging that the feeding port is full of materials. According to the invention, under the condition of considering dust flying and material blocking, the judgment accuracy of the material pile state of the feeding port is improved, so that the material storage utilization rate of the material bin is ensured.

Description

Technical Field

[0001] The invention relates to the field of material detection, and in particular to an intelligent gypsum warehouse feeding detection system. Background Art

[0002] In order to meet the requirements of intelligent, efficient and stable operation of gypsum board production lines, gypsum factories install intelligent unmanned gypsum warehouse systems in gypsum warehouses to realize unmanned operation and management. Intelligent gypsum warehouse systems usually use multiple cranes with electric grabs installed on them. The movement of the crane drives the electric grabs to transport materials back and forth to realize the feeding, unloading and deployment of gypsum materials. When the crane is performing the feeding task, the electric grab transports the materials to the top of the feeding port, and the materials fed into the feeding port will enter the silo through the gaps in the grid.

[0003] There are usually multiple silos in a gypsum warehouse. A through-beam sensor is set at the feeding port to detect the material stacking situation above the feeding port. If the light beam emitted by the through-beam sensor is blocked, it is judged that the material at the feeding port has been piled to a certain height and is in a full state. At this time, the electric grab will no longer feed the silo, and other silos that are not full will be selected for feeding.

[0004] In the prior art, if the grid gaps at the feeding port are blocked by material, a material pile of a certain height will be formed above the feeding port, resulting in an incorrect judgment result. If a large amount of dust is formed at the feeding port during the feeding and spreading process, it will block the light beam of the sensor and cause the sensor to misjudge. Therefore, blockage at the feeding port and flying dust may cause incorrect judgment of the state of the material pile at the feeding port, which may lead to insufficient feeding in the silo and low storage utilization of the silo. Summary of the invention

[0005] To this end, the present invention provides an intelligent gypsum warehouse feeding detection system, which effectively solves the technical problems in the prior art that blockage at the feeding port and flying dust may cause incorrect judgment of the material pile status at the feeding port, which may lead to insufficient feeding in the silo and low storage utilization rate of the silo.

[0006] In order to solve the above technical problems, the present invention specifically provides the following technical solutions: an intelligent gypsum warehouse feeding detection system, having:

[0007] A through-beam sensor unit is installed on the outer periphery above the feeding port. The through-beam sensor unit determines the height state of the material pile above the feeding port based on the propagation of the light beam, and sends a blocking signal when the light beam is blocked;

[0008] A dust detector, measuring the dust concentration value in the area above the feeding port;

[0009] The experimental analysis module obtains experimental data of several material transport experiments, obtains the critical value of the cumulative weight of the material fed, the maximum value of the grab bucket grabbing amount, the minimum value of the grab bucket grabbing amount according to the experimental data of the material transport experiments, and calculates the threshold value of the grab bucket feeding times;

[0010] The simulation analysis module obtains experimental data of several feeding experiments, builds the correlation between dust concentration and occlusion signal according to the experimental data of the feeding experiments and the corresponding dust concentration value, and obtains the dust concentration critical value based on the correlation between dust concentration and occlusion signal;

[0011] A data processing module receives the blocking signal when the dust concentration value is lower than the dust concentration critical value, and the data processing module counts the real-time grab bucket feeding times according to the blocking signal, and determines the size of the real-time grab bucket feeding times and the grab bucket feeding times threshold;

[0012] Among them, when the real-time grab bucket feeding number is lower than the grab bucket feeding number threshold, it is judged that the feeding port is blocked, and when the real-time grab bucket feeding number is higher than or within the grab bucket feeding number threshold range, it is judged that the feeding port is full.

[0013] Furthermore, the said radiation sensor unit comprises a transmitter and a receiver;

[0014] The transmitter is directly opposite to the receiver, and the transmitter and the receiver are arranged in at least two groups;

[0015] The height positions of the transmitters and the receivers in the same group are consistent, while the height positions of the transmitters and the receivers in different groups are different.

[0016] Furthermore, in each feeding experiment, the dust concentration value of the area above the feeding port and the blocking signal emitted by the cross-beam sensor unit are obtained;

[0017] Constructing a correlation between dust concentration and occlusion signal, arranging dust concentration values ​​in order of magnitude, and adjusting occlusion parameter x according to the light beam received by the receiver;

[0018] A concentration association table is drawn based on the association relationship, and a search is performed in the order of the concentration association table. When it is found that the occlusion parameter x changes, the corresponding dust concentration value is marked as the dust concentration critical value.

[0019] Further, when the receiver is able to receive the light beam, the shielding parameter x is 1, and when the receiver is unable to receive the light beam, the shielding parameter x is 0.

[0020] Furthermore, the grab amount of the grab bucket at a single time is adjusted, and the grabbed material is transported and put into the feeding port by the grab bucket multiple times to conduct a material transportation experiment;

[0021] During each material transportation process using the grab bucket, the amount of material grabbed by the grab bucket is recorded, and the amount of material grabbed by the grab bucket for each material transportation is added together to obtain the cumulative weight of the material fed in a material transportation experiment.

[0022] Furthermore, in each material transport experiment, the cumulative weight of the materials fed is recorded and arranged in order of size, and the shielding parameter x is recorded according to the situation of the light beam received by the receiver;

[0023] A weight association table is drawn based on the shielding parameter x and the cumulative weight of the feed, and the search is performed in the order of the weight association table. When it is found that the shielding parameters x corresponding to the two groups of opposing sensor units have changed successively, the corresponding cumulative weight of the feed is marked as the critical value of the cumulative weight of the feed.

[0024] Furthermore, after obtaining experimental data of several material transport experiments, experimental data of material transport experiments in which the grid plate on the feeding port is in a blocked state are eliminated.

[0025] Furthermore, the grabbing capacity of a single grab bucket obtained from several feeding experiments is arranged in order of size to obtain the maximum grabbing capacity and the minimum grabbing capacity;

[0026] Substitute the maximum grab amount and the minimum grab amount into the following formula to calculate the grab feeding times threshold:

[0027]

[0028] Where N min 、N max N is the grab bucket feeding times threshold. max is the maximum number of times the grab bucket feeds, N min is the minimum number of times the grab bucket feeds, M is the critical value of the cumulative weight of the feed, m max is the maximum grab capacity of the grab bucket, m min It is the minimum grab amount of the grab bucket.

[0029] Furthermore, the height positions of different through-beam sensor units are compared, and the through-beam sensor units with higher height positions are defined as high-position units, and the through-beam sensor units with lower height positions are defined as low-position units;

[0030] After determining that the feeding port is blocked or full, check the time point corresponding to the change in the shielding parameter x of the high-level unit and the low-level unit;

[0031] Among them, if the time point corresponding to the change of the shading parameter x of the low-level unit is earlier than the time point corresponding to the change of the shading parameter x of the high-level unit, the judgment result is output; if the time point corresponding to the change of the shading parameter x of the low-level unit is later than the time point corresponding to the change of the shading parameter x of the high-level unit, it is judged that there is an abnormality in the opposing beam sensor unit.

[0032] Furthermore, the grabbed material is thrown into the feeding port in a sprinkled manner by opening and closing the grab bucket to conduct a feeding experiment;

[0033] Adjust the opening and closing degree of the grab bucket, and conduct several feeding experiments based on different grab bucket opening and closing degrees.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] In the present invention, multiple material transportation experiments and material feeding experiments are carried out, and the grab bucket feeding frequency threshold is calculated based on the experimental data of the material transportation experiment. In the actual feeding process, if the real-time grab bucket feeding frequency is lower than the grab bucket feeding frequency threshold, it is judged that the feeding port is blocked, so that the workers can clean the feeding port to facilitate the subsequent feeding.

[0036] Furthermore, the critical value of dust concentration is calculated based on the experimental data of the feeding experiment. In the actual feeding process, the occlusion signal is received only when the dust concentration value is lower than the critical value of dust concentration, and then it is determined whether there is a blockage. If there is no blockage, the feeding port is judged to be full of material. Taking into account the flying dust and blockage, the judgment accuracy of the material pile status at the feeding port is improved to ensure the utilization rate of the material storage in the silo. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0038] Figure 1 A structural block diagram of an intelligent gypsum warehouse feeding detection system provided by an embodiment of the present invention;

[0039] Figure 2 is a concentration association table in an embodiment of the present invention;

[0040] Figure 3 This is a weight association table in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] like Figure 1As shown, the present invention provides an intelligent gypsum warehouse feeding detection system, which is equipped with a through-beam sensor unit, a dust detector, an experimental analysis module, a simulation analysis module, and a data processing module.

[0043] The through-beam sensor unit is installed on the outer periphery above the feeding port. The through-beam sensor unit determines the height state of the material pile above the feeding port based on the propagation of the light beam, and sends out a blocking signal when the light beam is blocked. In order to improve the signal accuracy of the blocking signal, the through-beam sensor unit is set to at least two groups.

[0044] The dust detector measures the dust concentration value in the area above the feeding port.

[0045] The experimental analysis module obtains experimental data of several material transport experiments, obtains the critical value of the cumulative weight of the material fed, the maximum value of the grab bucket grabbing amount, the minimum value of the grab bucket grabbing amount according to the experimental data of the material transport experiments, and calculates the threshold value of the grab bucket feeding times;

[0046] The simulation analysis module obtains experimental data of several feeding experiments, builds the correlation between dust concentration and occlusion signal according to the experimental data of the feeding experiments and the corresponding dust concentration value, and obtains the dust concentration critical value based on the correlation between dust concentration and occlusion signal;

[0047] The data processing module receives the shielding signal when the dust concentration value is lower than the dust concentration critical value. The data processing module counts the real-time grab bucket feeding times according to the shielding signal, and determines the size of the real-time grab bucket feeding times and the grab bucket feeding times threshold value;

[0048] Among them, when the real-time grab bucket feeding number is lower than the grab bucket feeding number threshold, it is judged that the feeding port is blocked, and when the real-time grab bucket feeding number is higher than or within the grab bucket feeding number threshold range, it is judged that the feeding port is full.

[0049] In the present invention, multiple material transportation experiments and material feeding experiments are carried out, and the grab bucket feeding frequency threshold is calculated based on the experimental data of the material transportation experiment. In the actual feeding process, if the real-time grab bucket feeding frequency is lower than the grab bucket feeding frequency threshold, it is judged that the feeding port is blocked, so that the workers can clean the feeding port to facilitate the subsequent feeding.

[0050] Furthermore, the critical value of dust concentration is calculated based on the experimental data of the feeding experiment. In the actual feeding process, the occlusion signal is received only when the dust concentration value is lower than the critical value of dust concentration, and then it is determined whether there is a blockage. If there is no blockage, the feeding port is judged to be full of material. Taking into account the flying dust and blockage, the judgment accuracy of the material pile status at the feeding port is improved to ensure the utilization rate of the material storage in the silo.

[0051] In the present invention, the beam sensor unit includes a transmitter and a receiver. The transmitter is used to transmit a light beam, and the receiver is used to receive a light beam. The transmitter is directly opposite to the receiver. The height positions of the same group of transmitters and receivers are consistent. The transmitters and receivers are set as at least two groups. Generally, the light beams emitted by the two groups of transmitters and receivers form a cross shape, and the two groups of transmitters and receivers are respectively installed at different corner positions.

[0052] In addition, in order to avoid interference between light beams, the present invention also makes the following design: different groups of transmitters and receivers have different height positions, and the height status of the material pile is detected at different positions, so that the height of the material pile can be monitored in real time during the stacking process.

[0053] In order to prevent the flying of dust from affecting the pile detection process of the through-beam sensor unit, the present invention provides a dust detector, through which the dust concentration is measured, and the dust detector is mainly used in the feeding experiment.

[0054] The grab bucket is opened and closed to drop the grabbed material into the feeding port in a scattered manner to conduct a feeding experiment. That is to say, the material in the grab bucket is completely thrown into the feeding port. This process can be regarded as completing a feeding experiment. In different feeding experiments, in order to form different dust concentrations, it is necessary to adjust the opening and closing degree of the grab bucket, and several feeding experiments are carried out based on different opening and closing degrees of the grab bucket.

[0055] The greater the degree of grab opening and closing, the more material is discharged per unit time, the greater the impact on the grid plate, the greater the probability of material flying and dust, and the greater the dust concentration. When the grab opening and closing degree is less than a certain angle, the material falls at a smaller flow rate, which is also easy to generate dust, resulting in excessive dust concentration. Therefore, in the process of controlling the grab opening and closing degree, a grab opening and closing degree can be formed at every certain angle, and a feeding experiment is carried out for this grab opening and closing degree. During the feeding experiment, the dust concentration at different time points may be different, and it is necessary to collect real-time dust concentration values ​​within the time period.

[0056] In addition, in each feeding experiment, the dust concentration value of the area above the feeding port and the occlusion signal emitted by the through-beam sensor unit are obtained. When recording each dust concentration value, it is also necessary to determine whether the through-beam sensor unit emits an occlusion signal.

[0057] According to the experimental data of the feeding experiment, the correlation between dust concentration and occlusion signal is constructed, the dust concentration values ​​are arranged in order of size, and the occlusion parameter x is adjusted according to the situation of the receiver receiving the light beam;

[0058] A concentration association table is drawn based on the association relationship, and a search is performed in the order of the concentration association table. When it is found that the occlusion parameter x changes, the corresponding dust concentration value is marked as the dust concentration critical value.

[0059] When the receiver is able to receive the light beam, the shielding parameter x is defined as 1, and when the receiver is unable to receive the light beam, the shielding parameter x is defined as 0.

[0060] like Figure 2 As shown, the dust concentration values ​​and the corresponding shielding parameters in multiple feeding experiments are summarized, the dust concentration values ​​are arranged in order from large to small, and the corresponding shielding parameters x are arranged one by one to correspond to the dust concentration values ​​to obtain a concentration association table. The search is performed according to the order of the concentration association table. When the dust concentration value is large, the shielding parameter x is 0. Figure 2 In the table, the dust concentration values ​​are a, b, c, and d, and the occlusion parameter x corresponds to 0, 0, 1, and 1. When the dust concentration value is c, the occlusion parameter x changes from 0 to 1, marking the dust concentration value c as the dust concentration critical value.

[0061] In order to improve the accuracy of the dust concentration critical value, as many feeding experiments as possible should be done so that the dust concentrations are arranged more closely in the concentration correlation table and the difference between adjacent dust concentrations is smaller, thus ensuring the accuracy of the dust concentration critical value.

[0062] In order to avoid the influence of material blockage in the feeding port on the material pile detection result of the opposite-shooting sensor unit, the present invention first conducts several material transportation experiments, and obtains the critical value of the cumulative weight of the feeding, the maximum value of the grab bucket grabbing amount, and the minimum value of the grab bucket grabbing amount through the experimental results of the material transportation experiments.

[0063] The process of the material transport experiment is as follows: adjust the grab amount of a single grab, transport the grabbed material through the grab and put it into the feeding port, and repeat the above operations. After the above steps are completed and the feeding port is filled to a full state, the material transport experiment is considered to be completed.

[0064] In each material transport experiment, in order to avoid the influence of material blockage in the material transport experiment on the accuracy of the experimental data, workers are required to directly observe or observe through a camera whether there is material blockage at the grid plate. If there is material blockage, after obtaining the experimental data of several material transport experiments, the experimental data of the material transport experiment in which the grid plate on the feeding port is in a blocked state will be eliminated.

[0065] During each material transportation process using the grab bucket, the amount of material grabbed by the grab bucket is recorded, and the amount of material grabbed by the grab bucket for each material transportation is added together to obtain the cumulative weight of the material fed in a material transportation experiment.

[0066] In each material transport experiment, the cumulative weight of the materials is recorded and arranged in order of size, and the shielding parameter x is adjusted according to the situation of the light beam received by the receiver;

[0067] A weight association table is drawn based on the shielding parameter x and the cumulative weight of the feed, and the search is performed in the order of the weight association table. When it is found that the shielding parameters x corresponding to the two groups of opposing sensor units have changed successively, the corresponding cumulative weight of the feed is marked as the critical value of the cumulative weight of the feed.

[0068] Among them, in each material transportation experiment, the gravity sensor can be used to measure and record the amount of material grabbed by the single grab bucket, and then the amount of material grabbed by the single grab bucket for each material transportation is added up to obtain the cumulative weight of the material fed in a material transportation experiment.

[0069] like Figure 3 As shown, in each material transport experiment, the cumulative weight of the materials is recorded and arranged in order from large to small. The shielding parameter x is recorded according to the situation of the light beam received by the receiver. A weight association table is drawn according to the shielding parameter x and the cumulative weight of the materials. The weight association table is searched in the order. When the cumulative weight of the materials is large, the shielding parameter x is 0. Figure 3 In the table, the cumulative weights of the materials are e, f, g, and h respectively, and the shielding parameter x corresponds to 0, 0, 1, and 1. When the cumulative weight of the materials is g, the shielding parameter x changes from 0 to 1, marking the cumulative weight g as the critical value of the cumulative weight of the materials.

[0070] Arrange the grabbing capacity of the grab bucket obtained from several feeding experiments in order of size to obtain the maximum grabbing capacity and the minimum grabbing capacity;

[0071] Substitute the maximum grab amount and the minimum grab amount into the following formula to calculate the grab feeding times threshold:

[0072]

[0073] Where N min 、N max N is the grab bucket feeding times threshold. max is the maximum number of times the grab bucket feeds, N min is the minimum number of times the grab bucket feeds, M is the critical value of the cumulative weight of the feed, m max is the maximum grab capacity of the grab bucket, m min It is the minimum grab amount of the grab bucket.

[0074] Through the above steps, the maximum value and the minimum value of the grab bucket feeding times can be calculated. When the real-time grab bucket feeding times are lower than the minimum value, the feeding port is judged to be blocked. When the real-time grab bucket feeding times are higher than the maximum value or between the maximum value and the minimum value, the feeding port is judged to be full.

[0075] Specifically, in actual operation, when the dust concentration value is lower than the dust concentration critical value and an occlusion signal is received, the real-time grab bucket feeding times are counted; when the real-time grab bucket feeding times are lower than the minimum grab bucket feeding times, it is judged that the feeding port is blocked; when the real-time grab bucket feeding times are higher than the maximum grab bucket feeding times or are between the maximum grab bucket feeding times and the minimum grab bucket feeding times, it is judged that the feeding port is full.

[0076] The above content provides a specific implementation process for judging whether the feeding port is full or blocked. However, in actual application, the cross-beam sensor unit may also be abnormal during use, resulting in abnormal signals emitted by it. In this regard, the present invention makes the following design, compares the height positions of different cross-beam sensor units, defines the cross-beam sensor unit with a higher height position as a high-position unit, and defines the cross-beam sensor unit with a lower height position as a low-position unit;

[0077] After determining that the feeding port is blocked or full, check the time point corresponding to the change in the shielding parameter x of the high-level unit and the low-level unit;

[0078] Among them, if the time point corresponding to the change of the shading parameter x of the low-level unit is earlier than the time point corresponding to the change of the shading parameter x of the high-level unit, the judgment result is output; if the time point corresponding to the change of the shading parameter x of the low-level unit is later than the time point corresponding to the change of the shading parameter x of the high-level unit, it is judged that there is an abnormality in the opposing beam sensor unit.

[0079] Assume that the time point corresponding to the change of the shielding parameter x of the low-level unit is t1, and the time point corresponding to the change of the shielding parameter x of the high-level unit is t2, and determine the order of the two time points;

[0080] If t1 is earlier than t2, the judgment result of "feeding port is blocked" or "feeding port is full" is output; if t1 is later than t2, it is judged that there may be an abnormality in the through-beam sensor unit, and the maintenance team is notified to check and repair.

[0081] In summary, the main implementation process of the present invention is:

[0082] Conduct several feeding experiments and count the dust concentration values ​​at different time points in the feeding experiments and the shielding signals emitted by the cross-beam sensor unit;

[0083] Arrange the dust concentration values ​​in order from large to small, and arrange the corresponding occlusion parameters x one by one to correspond to the dust concentration values, obtain a concentration association table, search according to the order of the concentration association table, and when the occlusion parameter x is found to have changed, mark the corresponding dust concentration value as the dust concentration critical value;

[0084] Carry out several material transport experiments, and count the cumulative weight of materials in each material transport experiment and the shielding signal sent by the beam sensor unit;

[0085] Arrange them in order from large to small, record the shielding parameter x according to the situation of the receiver receiving the light beam, draw a weight association table according to the shielding parameter x and the cumulative weight of the feeding, and search according to the order of the weight association table. When it is found that the shielding parameters x corresponding to the two groups of opposing sensor units have changed successively, mark the corresponding cumulative weight of the feeding as the critical value of the cumulative weight of the feeding;

[0086] Arrange the grabbing amounts of several feeding experiments in order of size to obtain the maximum grabbing amount and the minimum grabbing amount. Calculate the maximum and minimum grabbing times according to the maximum and minimum grabbing amounts.

[0087] During the actual material transportation process, a dust detector is used to measure the dust concentration value in the area above the feeding port, and a through-beam sensor unit is used to check the light beam propagation state and send out a blocking signal when the light beam is blocked. When the dust concentration value is lower than the dust concentration critical value and the blocking signal is received, the real-time grab bucket feeding times are counted. When the real-time grab bucket feeding times are lower than the minimum grab bucket feeding times, the feeding port is judged to be blocked. When the real-time grab bucket feeding times are higher than the maximum grab bucket feeding times or are between the maximum grab bucket feeding times and the minimum grab bucket feeding times, the feeding port is judged to be full.

[0088] In the above embodiments, the material transport experiment and the material feeding experiment can be performed simultaneously, that is, in the material transport experiment, the material feeding experiment is performed simultaneously each time the grab bucket transports the material above the feeding port.

[0089] The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art may make various modifications or equivalent substitutions to the present application within the essence and protection scope of the present application, and such modifications or equivalent substitutions shall also be deemed to fall within the protection scope of the present application.

Claims

1. An intelligent gypsum warehouse feeding detection system, characterized in that: have: A through-beam sensor unit is installed on the outer periphery above the feeding port. The through-beam sensor unit determines the height state of the material pile above the feeding port based on the propagation of the light beam, and sends a blocking signal when the light beam is blocked; A dust detector, measuring the dust concentration value in the area above the feeding port; The experimental analysis module obtains experimental data of several material transport experiments, obtains the critical value of the cumulative weight of the material fed, the maximum value of the grab bucket grabbing amount, the minimum value of the grab bucket grabbing amount according to the experimental data of the material transport experiments, and calculates the threshold value of the grab bucket feeding times; The simulation analysis module obtains experimental data of several feeding experiments, builds the correlation between dust concentration and occlusion signal according to the experimental data of the feeding experiments and the corresponding dust concentration value, and obtains the dust concentration critical value based on the correlation between dust concentration and occlusion signal; A data processing module receives the blocking signal when the dust concentration value is lower than the dust concentration critical value, and the data processing module counts the real-time grab bucket feeding times according to the blocking signal, and determines the size of the real-time grab bucket feeding times and the grab bucket feeding times threshold; Among them, when the real-time grab bucket feeding number is lower than the grab bucket feeding number threshold, it is judged that the feeding port is blocked, and when the real-time grab bucket feeding number is higher than or within the grab bucket feeding number threshold range, it is judged that the feeding port is full.

2. The intelligent gypsum warehouse feeding detection system according to claim 1 is characterized in that: The said radiation sensor unit comprises a transmitter and a receiver; The transmitter is directly opposite to the receiver, and the transmitter and the receiver are arranged in at least two groups; The height positions of the transmitters and the receivers in the same group are consistent, while the height positions of the transmitters and the receivers in different groups are different.

3. The intelligent gypsum warehouse feeding detection system according to claim 2 is characterized in that: In each feeding experiment, the dust concentration value in the area above the feeding port and the blocking signal emitted by the cross-beam sensor unit are obtained; Constructing a correlation between dust concentration and occlusion signal, arranging dust concentration values ​​in order of magnitude, and adjusting occlusion parameter x according to the light beam received by the receiver; A concentration association table is drawn based on the association relationship, and a search is performed in the order of the concentration association table. When it is found that the occlusion parameter x changes, the corresponding dust concentration value is marked as the dust concentration critical value.

4. The intelligent gypsum warehouse feeding detection system according to claim 3 is characterized in that: When the receiver is able to receive the light beam, the shielding parameter x is 1, and when the receiver is unable to receive the light beam, the shielding parameter x is 0.

5. The intelligent gypsum warehouse feeding detection system according to claim 4 is characterized in that: Adjust the grab amount of material in a single grab, transport the grabbed material through the grab multiple times and put it into the feeding port to conduct a material transportation experiment; During each material transportation process using the grab bucket, the amount of material grabbed by the grab bucket is recorded, and the amount of material grabbed by the grab bucket for each material transportation is added together to obtain the cumulative weight of the material fed in a material transportation experiment.

6. The intelligent gypsum warehouse feeding detection system according to claim 5 is characterized in that: In each material transport experiment, the cumulative weight of the materials is recorded and arranged in order of size, and the shielding parameter x is recorded according to the situation of the light beam received by the receiver; A weight association table is drawn based on the shielding parameter x and the cumulative weight of the feed, and the search is performed in the order of the weight association table. When it is found that the shielding parameters x corresponding to the two groups of opposing sensor units have changed successively, the corresponding cumulative weight of the feed is marked as the critical value of the cumulative weight of the feed.

7. The intelligent gypsum warehouse feeding detection system according to claim 6 is characterized in that: After obtaining experimental data of several material transport experiments, the experimental data of the material transport experiment in which the grid plate on the feeding port is in a blocked state are eliminated.

8. The intelligent gypsum warehouse feeding detection system according to claim 7 is characterized in that: Arrange the grabbing capacity of the grab bucket obtained from several feeding experiments in order of size to obtain the maximum grabbing capacity and the minimum grabbing capacity; Substitute the maximum grab amount and the minimum grab amount into the following formula to calculate the grab feeding times threshold: Where N min 、N max N is the grab bucket feeding times threshold. max is the maximum number of times the grab bucket feeds, N min is the minimum number of times the grab bucket feeds, M is the critical value of the cumulative weight of the feed, m max is the maximum grab capacity of the grab bucket, m min It is the minimum grab amount of the grab bucket.

9. The intelligent gypsum warehouse feeding detection system according to claim 8 is characterized in that: Compare the height positions of different through-beam sensor units, define the through-beam sensor unit with a higher height position as a high-position unit, and define the through-beam sensor unit with a lower height position as a low-position unit; After determining that the feeding port is blocked or full, check the time point corresponding to the change in the shielding parameter x of the high-level unit and the low-level unit; Among them, if the time point corresponding to the change of the shading parameter x of the low-level unit is earlier than the time point corresponding to the change of the shading parameter x of the high-level unit, the judgment result is output; if the time point corresponding to the change of the shading parameter x of the low-level unit is later than the time point corresponding to the change of the shading parameter x of the high-level unit, it is judged that there is an abnormality in the opposing beam sensor unit.

10. The intelligent gypsum warehouse feeding detection system according to claim 1 is characterized in that: The grabbed materials are dropped into the feeding port by opening and closing the grab bucket to conduct a feeding experiment; Adjust the opening and closing degree of the grab bucket, and conduct several feeding experiments based on different grab bucket opening and closing degrees.

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